We are looking for a talented Senior Data Scientist specialising in Automated Risk Management and Strategy Optimisation to join our team.The successful candidate will be responsible for developing and implementing advanced algorithms for automated risk-aware payment processing, customer behavioural risk scoring and quantitative collections strategy optimisation.Additionally, the role involves collaborating cross-functionally, creating structure through documentation and training, and driving innovation in data science practices.Reporting to the Head of Decisioning, the Senior Data Scientist will be responsible for:System Management: Maintain and continuously improve and automate financial risk decisions assessing credit and fraud risk.Optimisation: Drive continuous improvements in quantitative risk assessment accuracy and efficiency that result in the best outcome for Marmalade, while ensuring an optimal product experience.Data Analysis: Continuously assess and communicate fraud strategy performance, deficiencies, and opportunities to senior management.Cross-Functional Collaboration: Engage and work alongside various key functional areas (Growth, Operations, and Product) affected by financial risk decisions and processes.Documentation: Compile and maintain comprehensive documentation containing relevant information on all strategies, systems, and processes related to Marmalade's Fraud Decision systems.ROLE KPI'sDevelop Fraud Risk Strategies: Develop and implement effective fraud risk strategies for Marmalade to manage financial losses from invoice fraud. Utilise a combination of machine learning, artificial intelligence, and traditional fraud detection methods.Accuracy of Fraud Risk Strategies: Measure and report on the performance of Invoice Fraud detection strategies in terms of precision, recall, and overall accuracy, ensuring high levels of effectiveness in identifying risk of financial losses through fraudulent invoices.ROI of Internal Data Science Services: Communicate the performance of new data science products by measuring additional revenue generated, cost reductions, or other financial benefits. Determine the return on investment based on the impact on business growth and profitability.WHO YOU ARE2 to 5 years experience in Financial Services.Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.Proven experience in developing and deploying advanced machine learning algorithms for risk management, fraud detection, and customer behavior analysis.Proficiency in Python, along with experience using data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).Strong understanding of risk management principles, payment processing systems, and collections strategies in relevant industries (e.g., finance, fintech, e-commerce).Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.Experience with AI platforms (e.g., Anthropic, OpenAI) is a plus.Comfortable working in an environment where the systems and processes are still in the build stage and not yet clearly defined.Strong ability to prioritise activity based on potential impact.Self-motivated and autonomous (although you will have plenty of support from the team).An excitement and appetite to build something new.WHAT WE OFFERMarmalade is more than a company. We're a community that empowers businesses and individuals alike. We foster collaboration and innovation with genuine care and support for each other. We understand that excellence flourishes under the right conditions.Our workplace is inclusive and nurturing towards out-of-the-box thinkers and dreamers. We champion disruptive thinking and support each other to evolve at the speed demanded by today's challenges. Every day, we immerse ourselves in executing strategies and developing products that break the mould, heralding us all as tomorrow's solution to today's problems. We're united by a desire to change lives for the better, and we're only getting started.Attractive Base Salary - A competitive base salary complemented by performance-based bonuses.Engaged Workplace - A vibrant and positive workplace that empowers and challenges team members, fostering a sense of belonging to Marmalade's shared vision.Parental Leave - Comprehensive maternity and paternity leave benefits.Professional Growth - Biannual career development plans aimed at accelerating professional growth.Giving Back - A paid volunteer day to contribute to the community.
#J-18808-Ljbffr